Evidence map›Paper›PMID 24105367›Full record

ArticleEuropean journal of human genetics : EJHG2014

Mate pair sequencing for the detection of chromosomal aberrations in patients with intellectual disability and congenital malformations.

Sarah Vergult, Ellen Van Binsbergen, Tom Sante, Silke Nowak, Olivier Vanakker, Kathleen Claes, Bruce Poppe, Nathalie Van der Aa, Markus J van Roosmalen, Karen Duran and 10 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  9. A rigorousFrontiers in molecular neuroscience · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Sarah VergultCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Ellen Van BinsbergenDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Tom SanteCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Silke NowakCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Olivier VanakkerCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Kathleen ClaesCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Bruce PoppeCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Nathalie Van der AaDepartment for Medical Genetics, University Hospital of Antwerp, Antwerp, Belgium.
Markus J van RoosmalenDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Karen DuranDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Masoumeh Tavakoli-YarakiDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Marielle SwinkelsDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Marie-José van den BoogaardDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Mieke van HaelstDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000000275190246
Filip RoelensHeilig Hart Ziekenhuis, Roeselare, Belgium.
Frank SpelemanCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Edwin CuppenDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000000204009542
Geert Mortier1] Center for Medical Genetics, Ghent University, Ghent, Belgium [2] Department for Medical Genetics, University Hospital of Antwerp, Antwerp, Belgium.
Wigard P KloostermanDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Björn MentenCenter for Medical Genetics, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, microarrays have replaced karyotyping as a first tier test in patients with idiopathic intellectual disability and/or multiple congenital abnormalities (ID/MCA) in many laboratories. Although in about 14-18% of such patients, DNA copy-number variants (CNVs) with clinical significance can be detected, microarrays have the disadvantage of missing balanced rearrangements, as well as providing no information about the genomic architecture of structural variants (SVs) like duplications and complex rearrangements. Such information could possibly lead to a better interpretation of the clinical significance of the SV. In this study, the clinical use of mate pair next-generation sequencing was evaluated for the detection and further characterization of structural variants within the genomes of 50 ID/MCA patients. Thirty of these patients carried a chromosomal aberration that was previously detected by array CGH or karyotyping and suspected to be pathogenic. In the remaining 20 patients no causal SVs were found and only benign aberrations were detected by conventional techniques. Combined cluster and coverage analysis of the mate pair data allowed precise breakpoint detection and further refinement of previously identified balanced and (complex) unbalanced aberrations, pinpointing the causal gene for some patients. We conclude that mate pair sequencing is a powerful technology that can provide rapid and unequivocal characterization of unbalanced and balanced SVs in patient genomes and can be essential for the clinical interpretation of some SVs.

Indexed as

Chromosome AberrationsHigh-Throughput Nucleotide SequencingAbnormalities, MultipleChromosome BandingChromosome DuplicationChromosomes, Human, Pair 18Chromosomes, Human, Pair 21Comparative Genomic HybridizationComputational BiologyFemaleHumansIntellectual DisabilityKaryotypeMaleRecombination, Genetic

Identifiers

PMID24105367
PMCPMC3992577

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.